HT-TBD在水下目标被动检测中应用

Application of HT-TBD in Passive Detection of Underwater Targets

摘要:

在弱目标检测研究中，HT-TBD检测算法是一种有效理论方法。针对现有水下弱目标被动检测的难题，提出了一种适用于水下目标被动检测的HT-TBD算法。首先，阐述了HT-TBD检测思路，在分析声纳浮标检测组检测预处理基础上，研究了基于TBD理论和Hough变换的水下目标被动检测算法；其次，围绕浮标阵型适用场景，分析了探测设备指标、环境场地指标、目标指标及干扰指标，给出了拦截阵和覆盖阵两类试验方案及步骤；最后，在新安江水库对两类试验场景数据进行采集和预处理，通过实测数据和MATLAB仿真验证了HT-TBD检测算法在水下弱目标检测的可行性和有效性。

Abstract:

In the research of weak object detection, the HT-TBD detection algorithm is an effective theoretical method. A HT-TBD algorithm suitable for passive detection of underwater weak targets is proposed to address the challenges of existing passive detection methods. Firstly, the HT-TBD detection concept was elaborated. Based on the analysis of the detection preprocessing of the sonar buoy detection group, a passive underwater target detection algorithm based on TBD theory and Hough transform was studied; Secondly, focusing on the applicable scenarios of buoy formation, the detection equipment indicators, environmental site indicators, target indicators, and interference indicators were analyzed, and two types of experimental plans and steps for interception array and coverage array were provided; Finally, data from two types of experimental scenarios were collected and preprocessed at the Xin'anjiang Reservoir. The feasibility and effectiveness of the HT-TBD detection algorithm in underwater weak target detection were verified through measured data and MATLAB simulation.